Every day sees humanity more victorious in the struggle with space and time."Guglielmo Marconi (born April 25, 1874) "To every thing there is a season, and a time to every purpose under the heaven:A time to be born, and a time to die; a time to plant, and a time to pluck up that which is planted; A time to kill, and a time to heal; a time to break down, and a time to build up; A time to weep, and a time to laugh; a time to mourn, and a time to dance; A time to cast away stones, and a time to gather stones together; a time to embrace, and a time to refrain from embracing; A time to get, and a time to lose; a time to keep, and a time to cast away; A time to rend, and a time to sew; a time to keep silence, and a time to speak; A time to love, and a time to hate; a time of war, and a time of peace. What profit hath he that worketh in that wherein he laboureth?" Ecclesiastes 3:1-9 "The FBI has a database consisting of some 200 million fingerprint records... As part of a modernization program, the FBI is digitizing these records as 8-bit grayscale images, with a spatial resolution of 500 dots per inch. This results in some 10 megabytes per card, making the current archive about 2,000 terabytes in size." C.M. Brislawn (BRISLAWN, 1995) "Big data isn't about bits, it's about talent."
Douglas Merrill"After all, a person is herself, and others. Relationships chisel the final shape of one's being. I am me, and you."
N. K. Jemisin (JEMISIN, 2016)To my dear wife, Juliana, whose affection, love, and encouragement make me able to accomplish this achievement.Also, this work is wholeheartedly dedicated to my mother, Rute, for her continuous moral, spiritual, and emotional support during my life.
ACKNOWLEDGEMENTI want to thank my advisor Jaime Simão Sichman for having accepted to advise me, and for all the patience and learning he provided me. Also, thanks to the companies I had the pleasure to work for, INVENZI and ASSA ABLOY, and that helped me providing knowledge, datasets, insights, and the time I needed to work on this research.To all my friends and family who believed in me.
RESUMODetecção de fraude de identidade baseada em anomalias consiste em construir perfis com base nos comportamentos frequentes dos usuários e compará-los com novos dados. A ideia subjacente é que um comportamento diverso pode indicar uma possível fraude, ou seja, alguém tentando se passar pelo usuário original. A maioria das pesquisas na área visa usar dados espaço-temporais amplamente disponíveis coletados por sensores de localização onipresentes, tais como GPS, telefonia móvel, beacons e sistemas de controle de acesso físico. Por outro lado, muitos estudos alcançaram bom desempenho na descoberta de relações sociais entre os usuários.No presente trabalho, combinamos conceitos de pesquisas anteriores e propusemos um novo modelo de perfis denominado Group-T-Patterns, publicado originalmente em (SILVA; SICHMAN, 2022), que utiliza grupos sociais para construir perfis de mobilidade a fim de melhorar a detecção de anomalias. Em particular, desenvolvemos um...